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    Introduction to Monte-Carlo Methods for Transport and Diffusion Equations

Introduction to Monte-Carlo Methods for Transport and Diffusion Equations

Bernard Lapeyre, Etienne Pardoux, Remi Sentis, Alan Craig, Fionn Craig
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      Monte-Carlo methods is the generic term given to numerical methods that use sampling of random numbers. This text is aimed at graduate students in mathematics, physics, engineering, economics, finance, and the biosciences that are interested in using Monte-Carlo methods for the resolution of partial differential equations, transport equations, the Boltzmann equation and the parabolic equations of diffusion. It includes applied examples, particularly in mathematicalfinance, along with discussion of the limits of the methods and description of specific techniques used in practice for each example.This is the sixth volume in the Oxford Texts in Applied and Engineering Mathematics series, which includes texts based on taught courses that explain the mathematical or computational techniques required for the resolution of fundamental applied problems, from the undergraduate through to the graduate level. Other books in the series include: Jordan & Smith: Nonlinear Ordinary Differential Equations: An introduction to Dynamical Systems; Sobey: Introduction to Interactive Boundary LayerTheory; Scott: Nonlinear Science: Emergence and Dynamics of Coherent Structures; Tayler: Mathematical Models in Applied Mechanics; Ram-Mohan: Finite Element and Boundary Element Applications in Quantum Mechanics; Elishakoff and Ren: Finite Element Methods for Structures with Large StochasticVariations.
      Format: CONTRIBUTORS: Bernard Lapeyre, Etienne Pardoux, Remi Sentis, Alan Craig, Fionn Craig EAN: 9780198525936 COUNTRY: United Kingdom PAGES: WEIGHT: 260 g HEIGHT: 233 cm
      PUBLISHED BY: Oxford University Press DATE PUBLISHED: 2003-07-24 CITY: GENRE: LANGUAGE ARTS & DISCIPLINES / Linguistics / General, MATHEMATICS / Applied, SCIENCE / Physics / General WIDTH: 155 cm SPINE:

      Book Themes:

      Calculus and mathematical analysis, Probability and statistics, Maths for scientists, Maths for engineers

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      Monte-Carlo methods is the generic term given to numerical methods that use sampling of random numbers. This text is aimed at graduate students in mathematics, physics, engineering, economics, finance, and the biosciences that are interested in using Monte-Carlo methods for the resolution of partial differential equations, transport equations, the Boltzmann equation and the parabolic equations of diffusion. It includes applied examples, particularly in mathematicalfinance, along with discussion of the limits of the methods and description of specific techniques used in practice for each example.This is the sixth volume in the Oxford Texts in Applied and Engineering Mathematics series, which includes texts based on taught courses that explain the mathematical or computational techniques required for the resolution of fundamental applied problems, from the undergraduate through to the graduate level. Other books in the series include: Jordan & Smith: Nonlinear Ordinary Differential Equations: An introduction to Dynamical Systems; Sobey: Introduction to Interactive Boundary LayerTheory; Scott: Nonlinear Science: Emergence and Dynamics of Coherent Structures; Tayler: Mathematical Models in Applied Mechanics; Ram-Mohan: Finite Element and Boundary Element Applications in Quantum Mechanics; Elishakoff and Ren: Finite Element Methods for Structures with Large StochasticVariations.
      Format: CONTRIBUTORS: Bernard Lapeyre, Etienne Pardoux, Remi Sentis, Alan Craig, Fionn Craig EAN: 9780198525936 COUNTRY: United Kingdom PAGES: WEIGHT: 260 g HEIGHT: 233 cm
      PUBLISHED BY: Oxford University Press DATE PUBLISHED: 2003-07-24 CITY: GENRE: LANGUAGE ARTS & DISCIPLINES / Linguistics / General, MATHEMATICS / Applied, SCIENCE / Physics / General WIDTH: 155 cm SPINE:

      Book Themes:

      Calculus and mathematical analysis, Probability and statistics, Maths for scientists, Maths for engineers

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      Be the first to write a review
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